| Rmpe: Regional multi-person pose estimation HS Fang, S Xie, YW Tai, C Lu Proceedings of the IEEE international conference on computer vision, 2334-2343, 2017 | 2351 | 2017 |
| Image smoothing via L0 gradient minimization L Xu, C Lu, Y Xu, J Jia Proceedings of the 2011 SIGGRAPH Asia conference, 1-12, 2011 | 1742 | 2011 |
| Abnormal event detection at 150 fps in matlab C Lu, J Shi, J Jia Proceedings of the IEEE international conference on computer vision, 2720-2727, 2013 | 1607 | 2013 |
| Visual relationship detection with language priors C Lu, R Krishna, M Bernstein, L Fei-Fei Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 1379 | 2016 |
| A scalable active framework for region annotation in 3d shape collections L Yi, VG Kim, D Ceylan, IC Shen, M Yan, H Su, C Lu, Q Huang, A Sheffer, ... ACM Transactions on Graphics (ToG) 35 (6), 1-12, 2016 | 1322 | 2016 |
| Densefusion: 6d object pose estimation by iterative dense fusion C Wang, D Xu, Y Zhu, R Martín-Martín, C Lu, L Fei-Fei, S Savarese Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1250 | 2019 |
| Crowdpose: Efficient crowded scenes pose estimation and a new benchmark J Li, C Wang, H Zhu, Y Mao, HS Fang, C Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 672 | 2019 |
| Graspnet-1billion: A large-scale benchmark for general object grasping HS Fang, C Wang, M Gou, C Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 603 | 2020 |
| Alphapose: Whole-body regional multi-person pose estimation and tracking in real-time HS Fang, J Li, H Tang, C Xu, H Zhu, Y Xiu, YL Li, C Lu IEEE transactions on pattern analysis and machine intelligence 45 (6), 7157-7173, 2022 | 579 | 2022 |
| Open x-embodiment: Robotic learning datasets and rt-x models JJ Lim IEEE International Conference on Robotics and Automation, 2024 | 555* | 2024 |
| Pointsift: A sift-like network module for 3d point cloud semantic segmentation M Jiang, Y Wu, T Zhao, Z Zhao, C Lu arXiv preprint arXiv:1807.00652, 2018 | 528 | 2018 |
| Hybrik: A hybrid analytical-neural inverse kinematics solution for 3d human pose and shape estimation J Li, C Xu, Z Chen, S Bian, L Yang, C Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 449 | 2021 |
| Virtual to real reinforcement learning for autonomous driving X Pan, Y You, Z Wang, C Lu arXiv preprint arXiv:1704.03952, 2017 | 449 | 2017 |
| Pose flow: Efficient online pose tracking Y Xiu, J Li, H Wang, Y Fang, C Lu arXiv preprint arXiv:1802.00977, 2018 | 437 | 2018 |
| Deep lac: Deep localization, alignment and classification for fine-grained recognition D Lin, X Shen, C Lu, J Jia Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 430 | 2015 |
| Transferable interactiveness knowledge for human-object interaction detection YL Li, S Zhou, X Huang, L Xu, Z Ma, HS Fang, Y Wang, C Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 379 | 2019 |
| Tubetk: Adopting tubes to track multi-object in a one-step training model B Pang, Y Li, Y Zhang, M Li, C Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 334 | 2020 |
| Human pose regression with residual log-likelihood estimation J Li, S Bian, A Zeng, C Wang, B Pang, W Liu, C Lu Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 265 | 2021 |
| Instaboost: Boosting instance segmentation via probability map guided copy-pasting HS Fang, J Sun, R Wang, M Gou, YL Li, C Lu Proceedings of the IEEE/CVF international conference on computer vision, 682-691, 2019 | 247 | 2019 |
| Towards a new generation of artificial intelligence in China F Wu, C Lu, M Zhu, H Chen, J Zhu, K Yu, L Li, M Li, Q Chen, X Li, X Cao, ... Nature Machine Intelligence 2 (6), 312-316, 2020 | 217 | 2020 |
Jiaya JiaChair Professor, HKUST; Adjunct Prof., CUHKcse.ust.hk의 이메일 확인됨
